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This is an old revision of this page, as edited by ManuelRodriguez (talk | contribs) at 07:56, 29 February 2020 (Added new keypoints and extend the literature reference. The main idea is, that model-based reasoning is more complex than rule based systems.). The present address (URL) is a permanent link to this revision, which may differ significantly from the current revision.

WikiProject iconCognitive science (inactive)
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It appears that the external links currently need revision or should be deleted. I cannot suggest an appropriate replacement at this time.

I think that "Model-based reasoning at Utrecht University" should be to a translated page - perhaps linking through Google's translation service.

"NASA Model-based Diagnosis and Recovery Group" is a dead link; I could not find a cached version of the page using Google.

Boycer (talk) 17:02, 30 January 2009 (UTC)[reply]

Draft for updating the article

  • opposite to bottom up robotics from rodney brooks
  • forward model
  • model based control is similar
  • model-based vs model-free
  • "model-based reasoning" "Knowledge representation" -> expert systems
  • quote “Prolog is a declarative language” [1]
  • more modern programming language is golog [2] -> model-based programming
  • situation calculus as representation language [3]
  • instead of generating actions, the system is tracked and monitored [4]
  • "model-based reasoning" diagnosis
  • subsumption architecture is using a reactive paradigm [5]
  • deliberative planning is using declarative models [5]
  • models are the starting point for optimal control [5]
  • Model-Based Expert System Shell [1]
  • separation of control and model enables reuse of programs [2]
  • expert system are precursor of model-based reasoning systems [2]
  • rule based systems are easy to create, model based reasoning systems are more complex [6]
  • model based reasoning has became popular since the 1990s [6]
Literature
  • [1] Niederliński, A. "An expert system shell for uncertain rule-and model based reasoning." Methods of Artificial Intelligence in Mechanics and Mechanical Engineering AIMech (2001).
  • [2] McIlraith, Sheila A. "Model-based programming using golog and the situation calculus." Proceedings of the Tenth International Workshop on Principles of Diagnosis (DX’99). 1999.
  • [3] McIlraith, Sheila A. "Representing actions and state constraints in model-based diagnosis." AAAI/IAAI. 1997.
  • [4] Dvorak, Daniel, and Benjamin Kuipers. "Model-Based Monitoring of Dynamic Systems." IJCAI. 1989.
  • [5] Watson, David P., and David H. Scheidt. "Autonomous systems." Johns Hopkins APL technical digest 26.4 (2005): 368-376.
  • [6] Lee, Newton S. "A computational paradigm that integrates rule‐based and model‐based reasoning in expert systems." International journal of intelligent systems 5.2 (1990): 135-151.

--ManuelRodriguez (talk) 07:56, 29 February 2020 (UTC)[reply]